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Vision models

Models that accept image input. 159 of 338 catalog models match as of July 2026.

159
Models
$0.052
Input from /1M
10M
Max context
Jun 30, 2026
Newest release

Vision on OpenKey now covers 159 models across 52 labs, everything from image-in/text-out workhorses to models that generate images back out. The newest is Claude Sonnet 5 (2026-06-30), priced at $2/$10 per M input/output tokens with a 1M-token context window. At the other end, Gemma 4 26B A4B runs $0.06/$0.33 per M — and there's a free version too. Eight models in this category cost nothing, 151 are paid, and the spread between cheapest and priciest paid vision model is enormous, so picking by price band matters as much as picking by capability.

Top picks

Claude Opus 4.8

Ranks 1st on design_arena androidnative (elo 1343), the highest elo score in this category's benchmark data. At $5/$25 per M tokens ($5.15/$25.75 on OpenKey after the 3% fee) with a 1M context window, it's the strongest documented performer for UI-heavy vision work.

Nano Banana 2 (Gemini 3.1 Flash Image)

One of the few models here that outputs images as well as text (text+image->text+image), at $0.5/$3 per M ($0.515/$3.09 on OpenKey). Cheapest image-generating vision model in the set by a wide margin.

Qwen3.6 35B A3B

$0.14/$1.00 per M ($0.1442/$1.03 on OpenKey) with a 262,144-token context window — one of the lowest-cost paid options in the list for teams processing high image volume without a benchmark-topping requirement.

All 159 models

Full catalog →
  • Claude Sonnet 5ctx 1M · inout
  • Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)ctx 66K · inout
  • Fugu Ultractx 1M · inout
  • Nano Banana Pro (Gemini 3 Pro Image)ctx 66K · inout
  • Nano Banana 2 (Gemini 3.1 Flash Image)ctx 131K · inout
  • Kimi K2.7 Codectx 262K · inout
  • Claude Fable 5ctx 1M · inout
  • Nex-N2-Proctx 262K · inout
  • Nemotron 3.5 Content Safety (free)Freectx 128K · inFreeoutFree
  • Qwen3.7 Plusctx 1M · inout
  • MiniMax M3ctx 1.0M · inout
  • Step 3.7 Flashctx 256K · inout
  • Claude Opus 4.8ctx 1M · inout
  • Claude Opus 4.8 (Fast)ctx 1M · inout
  • Grok Build 0.1ctx 256K · inout
  • Gemini 3.5 Flashctx 1.0M · inout
  • Claude Opus 4.7 (Fast)ctx 1M · inout
  • Perceptron Mk1ctx 33K · inout
  • Gemini 3.1 Flash Litectx 1.0M · inout
  • GPT Chat Latestctx 400K · inout
  • Mistral Medium 3.5ctx 262K · inout
  • Grok 4.3ctx 1M · inout
  • Nemotron 3 Nano Omni (free)Freectx 256K · inFreeoutFree
  • Qwen3.5 Plus 2026-04-20ctx 1M · inout
  • Qwen3.6 27Bctx 262K · inout
  • Qwen3.6 35B A3Bctx 262K · inout
  • Qwen3.6 Flashctx 1M · inout
  • GPT-5.5ctx 1.1M · inout
  • GPT-5.5 Proctx 1.1M · inout
  • MiMo-V2.5ctx 1.0M · inout
  • GPT-5.4 Image 2ctx 272K · inout
  • Kimi K2.6ctx 262K · inout
  • Claude Opus 4.7ctx 1M · inout
  • Gemma 4 26B A4B ctx 262K · inout
  • Gemma 4 26B A4B (free)Freectx 262K · inFreeoutFree
  • Gemma 4 31Bctx 262K · inout
  • Gemma 4 31B (free)Freectx 262K · inFreeoutFree
  • Qwen3.6 Plusctx 1M · inout
  • GLM 5V Turboctx 203K · inout
  • Grok 4.20ctx 2M · inout
  • Grok 4.20 Multi-Agentctx 2M · inout
  • Lyria 3 Clip PreviewFreectx 1.0M · inFreeoutFree
  • Lyria 3 Pro PreviewFreectx 1.0M · inFreeoutFree
  • Reka Edgectx 16K · inout
  • GPT-5.4 Minictx 400K · inout
  • GPT-5.4 Nanoctx 400K · inout
  • Mistral Small 4ctx 262K · inout
  • Seed-2.0-Litectx 262K · inout
  • Qwen3.5-9Bctx 262K · inout
  • GPT-5.4ctx 1.1M · inout
  • GPT-5.4 Proctx 1.1M · inout
  • Gemini 3.1 Flash Lite Previewctx 1.0M · inout
  • GPT-5.3 Chatctx 128K · inout
  • Seed-2.0-Minictx 262K · inout
  • Nano Banana 2 (Gemini 3.1 Flash Image Preview)ctx 131K · inout
  • Gemini 3.1 Pro Preview Custom Toolsctx 1.0M · inout
  • Qwen3.5-122B-A10Bctx 262K · inout
  • Qwen3.5-27Bctx 262K · inout
  • Qwen3.5-35B-A3Bctx 262K · inout
  • Qwen3.5-Flashctx 1M · inout
  • GPT-5.3-Codexctx 400K · inout
  • Gemini 3.1 Pro Previewctx 1.0M · inout
  • Claude Sonnet 4.6ctx 1M · inout
  • Qwen3.5 397B A17Bctx 256K · inout
  • Qwen3.5 Plus 2026-02-15ctx 1M · inout
  • Claude Opus 4.6ctx 1M · inout
  • Free Models RouterFreectx 200K · inFreeoutFree
  • Kimi K2.5ctx 262K · inout
  • GPT-5.2-Codexctx 400K · inout
  • Seed 1.6ctx 262K · inout
  • Seed 1.6 Flashctx 262K · inout
  • Gemini 3 Flash Previewctx 1.0M · inout
  • GPT-5.2ctx 400K · inout
  • GPT-5.2 Chatctx 128K · inout
  • GPT-5.2 Proctx 400K · inout
  • GLM 4.6Vctx 131K · inout
  • GPT-5.1-Codex-Maxctx 400K · inout
  • Nova 2 Litectx 1M · inout
  • Ministral 3 14B 2512ctx 262K · inout
  • Ministral 3 3B 2512ctx 131K · inout
  • Ministral 3 8B 2512ctx 262K · inout
  • Mistral Large 3 2512ctx 262K · inout
  • Claude Opus 4.5ctx 200K · inout
  • Nano Banana Pro (Gemini 3 Pro Image Preview)ctx 66K · inout
  • GPT-5.1ctx 400K · inout
  • GPT-5.1 Chatctx 128K · inout
  • GPT-5.1-Codexctx 400K · inout
  • GPT-5.1-Codex-Minictx 400K · inout
  • Nova Premier 1.0ctx 1M · inout
  • Sonar Pro Searchctx 200K · inout
  • Nemotron Nano 12B 2 VL (free)Freectx 128K · inFreeoutFree
  • Qwen3 VL 32B Instructctx 262K · inout
  • GPT-5 Image Minictx 400K · inout
  • Claude Haiku 4.5ctx 200K · inout
  • GPT-5 Imagectx 400K · inout
  • Qwen3 VL 8B Instructctx 256K · inout
  • Qwen3 VL 8B Thinkingctx 256K · inout
  • o3 Deep Researchctx 200K · inout
  • o4 Mini Deep Researchctx 200K · inout
  • Nano Banana (Gemini 2.5 Flash Image)ctx 33K · inout
  • GPT-5 Proctx 400K · inout
  • Qwen3 VL 30B A3B Instructctx 262K · inout
  • Qwen3 VL 30B A3B Thinkingctx 131K · inout
  • Claude Sonnet 4.5ctx 1M · inout
  • Gemini 2.5 Flash Lite Preview 09-2025ctx 1.0M · inout
  • GPT-5 Codexctx 400K · inout
  • Qwen3 VL 235B A22B Instructctx 262K · inout
  • Qwen3 VL 235B A22B Thinkingctx 131K · inout
  • Mistral Medium 3.1ctx 131K · inout
  • GLM 4.5Vctx 66K · inout
  • GPT-5ctx 400K · inout
  • GPT-5 Chatctx 128K · inout
  • GPT-5 Minictx 400K · inout
  • GPT-5 Nanoctx 400K · inout
  • Claude Opus 4.1ctx 200K · inout
  • UI-TARS 7B ctx 128K · inout
  • Gemini 2.5 Flash Litectx 1.0M · inout
  • ERNIE 4.5 VL 424B A47B ctx 131K · inout
  • Mistral Small 3.2 24Bctx 128K · inout
  • Gemini 2.5 Flashctx 1.0M · inout
  • Gemini 2.5 Proctx 1.0M · inout
  • o3 Proctx 200K · inout
  • Gemini 2.5 Pro Preview 06-05ctx 1.0M · inout
  • Claude Opus 4ctx 200K · inout
  • Claude Sonnet 4ctx 1M · inout
  • Gemini 2.5 Pro Preview 05-06ctx 1.0M · inout
  • Mistral Medium 3ctx 131K · inout
  • Llama Guard 4 12Bctx 164K · inout
  • o3ctx 200K · inout
  • o4 Minictx 200K · inout
  • o4 Mini Highctx 200K · inout
  • GPT-4.1ctx 1.0M · inout
  • GPT-4.1 Minictx 1.0M · inout
  • GPT-4.1 Nanoctx 1.0M · inout
  • Llama 4 Maverickctx 1.0M · inout
  • Llama 4 Scoutctx 10M · inout
  • o1-proctx 200K · inout
  • Mistral Small 3.1 24Bctx 128K · inout
  • Gemma 3 12Bctx 131K · inout
  • Gemma 3 4Bctx 131K · inout
  • Gemma 3 27Bctx 131K · inout
  • Sonar Proctx 200K · inout
  • Sonar Reasoning Proctx 128K · inout
  • Qwen2.5 VL 72B Instructctx 131K · inout
  • Sonarctx 127K · inout
  • MiniMax-01ctx 1.0M · inout
  • o1ctx 200K · inout
  • Nova Lite 1.0ctx 300K · inout
  • Nova Pro 1.0ctx 300K · inout
  • GPT-4o (2024-11-20)ctx 128K · inout
  • Llama 3.2 11B Vision Instructctx 131K · inout
  • GPT-4o (2024-08-06)ctx 128K · inout
  • GPT-4o-minictx 128K · inout
  • GPT-4o-mini (2024-07-18)ctx 128K · inout
  • GPT-4octx 128K · inout
  • GPT-4o (2024-05-13)ctx 128K · inout
  • GPT-4 Turboctx 128K · inout
  • Claude 3 Haikuctx 200K · inout
  • Auto Routerctx 2M · inVariableoutVariable

Prices per 1M tokens, flat 3% fee included. Hover or tap a price for the math.

How to choose

First tradeoff: text-out vs image-out. Most models here (Claude Sonnet 5, Claude Opus 4.8, Grok 4.3) read images and answer in text; only a handful, like Nano Banana 2 and GPT-5.4 Image 2, generate images back. Don't pay for image-out capability you won't use. Second: context window varies from 32,768 tokens (Perceptron Mk1) up to 2,000,000 (Grok 4.20) — matters if you're feeding in long documents alongside images, not just single screenshots. Third: benchmark coverage is thin — only 84 of 159 models have design_arena scores attached, so for the other ~75, you're picking on price and modality alone, not proven ranking.

Questions

What's the newest vision model on OpenKey?
Claude Sonnet 5, released 2026-06-30. It reads text, images, and files, returns text, and runs a 1,000,000-token context window at $2/$10 per M input/output tokens ($2.06/$10.30 on OpenKey after the 3% fee).
Are there free vision models?
Yes — 8 of the 159 vision models are free, including Gemma 4 26B A4B (free), Gemma 4 31B (free), and Nemotron 3 Nano Omni (free). They're fully functional vision models, not trials, though free-tier availability can be rate-limited by the provider.
Which vision models can generate images, not just read them?
Nano Banana Pro, Nano Banana 2, Nano Banana 2 Lite (all Gemini-based), and GPT-5.4 Image 2 support text+image->text+image, meaning they can return generated or edited images. Most other vision models in this list only take image input and return text.